
Explore the complex dynamics of retinal waves, uncovering their non-linear behavior and implications for visual system development.

Explore noise-driven bifurcations in neural field systems, focusing on grid cell network modeling and their implications for spatial navigation.

Explore projection techniques for analyzing complex neurobiological networks, focusing on applications in neuroscience research and computational modeling.

Explore multi-disciplinary approaches to understanding synaptic mechanisms, emphasizing their importance in neuroscience research and potential applications.

Explore metastable spiking networks in the replica-mean-field limit, focusing on advanced concepts in neural dynamics and statistical physics.

Explore metastable systems of spiking neurons and their time averages in this concise neuroscience lecture by Morgan André.

Explore recent findings on mean field theory applied to spiking neuron networks, presented by Romain Veltz from Inria Sophia Antipolis.

Explore spontaneous oscillations in excitatory neural networks through mean field analysis, uncovering insights into complex neuronal dynamics.

Explore determinants of selection responses in antibody libraries, focusing on key parameters and their impact on library evolution and optimization.

Explore SARS-CoV-2's early evolution, focusing on synonymous mutations and their role in evading the human innate immune system.

Explore spatial population dynamics and their impact on evolutionary processes, focusing on genetic diversity and adaptation mechanisms.

Explore sequencing errors, phylogenetics, and SARS-CoV-2 transmission in hospitals with insights from a Cambridge researcher.

Explore bacterial evolution in complex environments, uncovering adaptive strategies and genetic mechanisms shaping microbial populations over time.

Analyze phenotypic constraints in laboratory evolution to predict and control microbial evolution, focusing on research from the University of Tokyo.

Explorez l'évolution de la virulence chez Escherichia coli, une bactérie commensale, et ses implications pour la santé humaine et la microbiologie.

Explore genetic diversity within species, examining key processes and mechanisms driving variation in populations.

Explore cutting-edge techniques for estimating large-scale species trees, addressing gene duplication and loss challenges in phylogenetics.

Explore Bayesian phylogeography techniques for analyzing species distribution patterns using continuous spatial models and random walk sampling methods.

Explore foundations for large-scale comparative genomics, focusing on techniques and challenges in analyzing vast genomic datasets across species.

Explore ABC phylodynamics with Samuel Alizon, delving into advanced techniques for analyzing evolutionary dynamics of pathogens using phylogenetic data.

Explore shifts in E. coli's mutational biases and their impact on beneficial mutations, enhancing understanding of bacterial evolution and adaptation.